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篇名 |
A Study of Using Syntactic Cues in Short-text Similarity Measure
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並列篇名 | A Study of Using Syntactic Cues in Short-text Similarity Measure |
作者 | Po-Sen Huang、Po-Sheng Chiu、Jia-Wei Chang、黃悅民、Ming-Che Lee |
英文摘要 | Short-text semantic similarity is an essential technique of natural language search and is widely used in social network analysis and opinion mining to find unknown knowledge. Such similarity measures usually measure short texts with 10-20 words. Similar to spoken utterances, short texts do not necessarily follow formal grammatical rules. The limited information contained in short texts and their syntactic and semantic flexibility make similarity measures difficult. Therefore, this study designed and tested a part-of-speech-based short-text similarity algorithm to solve those problems. The effects of evaluating different parts of speech are thoroughly discussed. The proposed algorithm achieved the best performance using word measures corresponding to different parts of speech. |
起訖頁 | 839-850 |
關鍵詞 | Short-text similarity、Semantic analysis、Part-of-speech、WordNet |
刊名 | 網際網路技術學刊 |
期數 | 201905 (20:3期) |
出版單位 | 台灣學術網路管理委員會 |
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